Presentation 2013-05-24
Segmentation of Acetabular Cartilage in CT Arthrography using Probabilistic Atlas Spatially Normalized by Pelvic Shape
Pooneh R. Tabrizi, Reza A. Zoroofi, Futoshi Yokota, Toshiyuki Okada, Yuki Nakanishi, Satoru Tamura, Takashi Nishii, Hideki Yoshikawa, Noriyuki Tomiyama, Yoshinobu Sato,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we proposed a new hybrid algorithm to segment acetabular cartilage in the hip joint. This statistical and anatomical information based algorithm is incorporated into a two-step system: pelvis bone segmentation using predictive statistical shape model and acetabular cartilage extraction based on probabilistic atlas and position of pelvis bone. We evaluated our new hybrid algorithm using enhanced Computed Tomography (CT) images by injecting the contrast media to the hip joint that were acquired at Osaka University Hospital. The mean and standard deviation of obtained results are 0.8 and 0.54 mm, respectively.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Predictive Statistical Shape Model / Enhanced CT Images / Statistical Information / Anatomical Information
Paper # IE2013-14,PRMU2013-7,MI2013-7
Date of Issue

Conference Information
Committee MI
Conference Date 2013/5/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Medical Imaging (MI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Segmentation of Acetabular Cartilage in CT Arthrography using Probabilistic Atlas Spatially Normalized by Pelvic Shape
Sub Title (in English)
Keyword(1) Predictive Statistical Shape Model
Keyword(2) Enhanced CT Images
Keyword(3) Statistical Information
Keyword(4) Anatomical Information
1st Author's Name Pooneh R. Tabrizi
1st Author's Affiliation Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran()
2nd Author's Name Reza A. Zoroofi
2nd Author's Affiliation Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran
3rd Author's Name Futoshi Yokota
3rd Author's Affiliation Graduate School of Engineering, Kobe University
4th Author's Name Toshiyuki Okada
4th Author's Affiliation Graduate School of Medicine, Osaka University
5th Author's Name Yuki Nakanishi
5th Author's Affiliation Graduate School of System Informatics, Kobe University
6th Author's Name Satoru Tamura
6th Author's Affiliation Graduate School of Medicine, Osaka University
7th Author's Name Takashi Nishii
7th Author's Affiliation Graduate School of Medicine, Osaka University
8th Author's Name Hideki Yoshikawa
8th Author's Affiliation Graduate School of Medicine, Osaka University
9th Author's Name Noriyuki Tomiyama
9th Author's Affiliation Graduate School of Medicine, Osaka University
10th Author's Name Yoshinobu Sato
10th Author's Affiliation Graduate School of Medicine, Osaka University
Date 2013-05-24
Paper # IE2013-14,PRMU2013-7,MI2013-7
Volume (vol) vol.113
Number (no) 64
Page pp.pp.-
#Pages 6
Date of Issue